Hughes, Jack, Occhiuzzi, Cecilia, Batchelor, John C., Marrocco, Gaetano (2020) Twin Grid-array as 3.6 GHz Epidermal Antenna for Potential Backscattering 5G Communication. IEEE Antennas and Wireless Propagation Letters, . pp. 1-5. ISSN 1536-1225. E-ISSN 1548-5757. (doi:10.1109/LAWP.2020.3023291) (KAR id:82944)
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| Official URL: http://dx.doi.org/10.1109/LAWP.2020.3023291 |
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Abstract
Emerging 5G infrastructures can boost innovative paradigms for future wearable and epidermal devices exploiting low-power (even passive) wireless backscattering-based communication. To compensate high body- and path-losses, and to extend the read range, array configurations are required. This work proposes a flexible monolithic epidermal layout, based on Krauss array concept, that operates at 3.6 GHz and it is suitable to be directly attached to the human body. The antenna involves a dual grid configuration with a main radiating grid backed by a grid reflector placed in touch with the skin. Overall, the amount of conductor an dielectric substrate are minimized with benefit to breathability. The antenna is suitable to surface feeding and produces a broadside radiation. Parametric analysis are performed and an optimal configuration of four-cells grid is derived and experimentally demonstrated to provide a maximum
gain of more than 6 dBi.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1109/LAWP.2020.3023291 |
| Projects: | Passively Powered Non-Invasive Human Body Sensing on Bio- Degradable Conformal Substrates |
| Uncontrolled keywords: | Epidermal electronics, flexible electronics, epidermal array antenna, 5G antenna. |
| Subjects: |
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7871.6 Antennas and waveguides T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7871.6 Antennas and waveguides > TK7871.67.M53 Microwave antennas |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
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| Funders: | Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
| Depositing User: | John Batchelor |
| Date Deposited: | 15 Sep 2020 20:42 UTC |
| Last Modified: | 20 May 2025 10:45 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/82944 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-5139-5765
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